scholarly journals Communication and Networking Technologies for UAVs: A Survey

2020 ◽  
Author(s):  
Chathuranga M. Wijerathna Basnayaka ◽  
Dushantha Nalin K. Jayakody
Keyword(s):  
Research Work ◽  
Communication Technologies ◽  
Lessons Learned ◽  
Optimization Techniques ◽  
Network Architectures ◽  
Vehicle Communication ◽  
Work Related ◽  
Aerial Vehicle ◽  
Networking Technologies ◽  
Communication Methods

With the advancement in drone technology, in just a few years, drones will be assisting humans in every domain. But there are many challenges to be tackled, communication being the chief one. This paper aims at providing insights into the latest UAV (Unmanned Aerial Vehicle) communication technologies through investigation of suitable task modules, antennas, resource handling platforms, and network architectures. Additionally, we explore techniques such as machine learning and path planning to enhance existing drone communication methods. Encryption and optimization techniques for ensuring long−lasting and secure communications, as well as for power management, are discussed. Moreover, applications of UAV networks for different contextual uses ranging from navigation to surveillance, URLLC (Ultra-reliable and low−latency communications), edge computing and work related to artificial intelligence are examined. In particular, the intricate interplay between UAV, advanced cellular communication, and internet of things constitutes one of the focal points of this paper. The survey encompasses lessons learned, insights, challenges, open issues, and future directions in UAV communications. Our literature review reveals the need for more research work on drone−to−drone and drone−to−device communications.

scholarly journals Communication and Networking Technologies for UAVs: A Survey

2020 ◽  
Author(s):  
chathuranga basnayaka
Keyword(s):  
Machine Learning ◽  
Power Management ◽  
Lessons Learned ◽  
Low Latency ◽  
Focal Points ◽  
Future Directions ◽  
Vehicle Communication ◽  
Work Related ◽  
Aerial Vehicle ◽  
Networking Technologies

<div>With the advancement in drone technology;</div><div>in just a few years; drones will be assisting humans</div><div>in every domain: But there are many challenges to</div><div>be tackled; communication being the chief one: This</div><div>paper aims at providing insights into the latest UAV</div><div>(Unmanned Aerial Vehicle ) communication technolo-</div><div>gies through investigation of suitable task modules;</div><div>antennas; resource handling platforms; and network</div><div>architectures: Additionally; we explore techniques such</div><div>as machine learning and path planning to enhance exist-</div><div>ing drone communication methods:Encryption and opti-</div><div>mization techniques for ensuring long􀀀lasting and se-</div><div>cure communications; as well as for power management;</div><div>are discussed:Moreover; applications of UAV networks</div><div>for di?erent contextual uses ranging from navigation to</div><div>surveillance; URLLC (Ultra-reliable and low􀀀latency</div><div>communications); edge computing and work related</div><div>to arti?cial intelligence are examined: In particular;</div><div>the intricate interplay between UAV; advanced cellu-</div><div>lar communication; and internet of things constitutes</div><div>one of the focal points of this paper: The survey en-</div><div>compasses lessons learned; insights; challenges; open</div><div>issues; and future directions in UAV communications:</div>

scholarly journals Communication and Networking Technologies for UAVs: A Survey

2020 ◽  
Author(s):  
chathuranga basnayaka
Keyword(s):  
Machine Learning ◽  
Power Management ◽  
Lessons Learned ◽  
Low Latency ◽  
Focal Points ◽  
Future Directions ◽  
Vehicle Communication ◽  
Work Related ◽  
Aerial Vehicle ◽  
Networking Technologies

<div>With the advancement in drone technology;</div><div>in just a few years; drones will be assisting humans</div><div>in every domain: But there are many challenges to</div><div>be tackled; communication being the chief one: This</div><div>paper aims at providing insights into the latest UAV</div><div>(Unmanned Aerial Vehicle ) communication technolo-</div><div>gies through investigation of suitable task modules;</div><div>antennas; resource handling platforms; and network</div><div>architectures: Additionally; we explore techniques such</div><div>as machine learning and path planning to enhance exist-</div><div>ing drone communication methods:Encryption and opti-</div><div>mization techniques for ensuring long􀀀lasting and se-</div><div>cure communications; as well as for power management;</div><div>are discussed:Moreover; applications of UAV networks</div><div>for di?erent contextual uses ranging from navigation to</div><div>surveillance; URLLC (Ultra-reliable and low􀀀latency</div><div>communications); edge computing and work related</div><div>to arti?cial intelligence are examined: In particular;</div><div>the intricate interplay between UAV; advanced cellu-</div><div>lar communication; and internet of things constitutes</div><div>one of the focal points of this paper: The survey en-</div><div>compasses lessons learned; insights; challenges; open</div><div>issues; and future directions in UAV communications:</div>

Unmanned Aerial Vehicle Operational Test and Evaluation Lessons Learned

2003 ◽  
Author(s):  
Lee Carr ◽  
Kristen Lambrecht ◽  
Scott Shaw ◽  
Greg Whittier ◽  
Catherine Warner
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Lessons Learned ◽  
Test And Evaluation ◽  
Operational Test ◽  
Aerial Vehicle ◽  
Operational Test And Evaluation

scholarly journals Risk of Increased Acceptance for Organizational Nepotism and Cronyism during the COVID-19 Pandemic

Risks ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 59
Author(s):  
Grzegorz Ignatowski ◽  
Łukasz Sułkowski ◽  
Bartłomiej Stopczyński
Keyword(s):  
Qualitative Study ◽  
Quantitative Methods ◽  
Research Work ◽  
Negative Effects ◽  
Qualitative And Quantitative ◽  
Qualitative And Quantitative Methods ◽  
Work Related ◽  
Social And Economic Development ◽  
The Times ◽  
The Impact

Nepotism and cronyism are forms of favoritism towards certain people in the workplace. For this reason, they constitute a problem for organization managers, ethicists and psychologists. Identifying the impact of COVID-19 pandemic on the increase of nepotism and cronyism may provide a basis for organizations to assess their extent and to take possible measures to prevent their negative effects. At the same time, the research presented in the article may provide a basis for further research work related to nepotism and cronyism at the times of other threats, different from the pandemic. The aim of the article is to examine the impact of the COVID-19 pandemic on growing acceptance for nepotism and cronyism in Polish enterprises. Qualitative and quantitative methods have been included in the conducted research. Qualitative study aimed at improving knowledge of nepotism and cronyism and the impact of the COVID-19 pandemic on these phenomena, followed by a quantitative study conducted in order to verify the information obtained in the qualitative study. This research has demonstrated that Nepotism and cronyism in the workplace, are phenomenon that are basically evaluated negatively. They adversely influences social and economic development, but the impact of COVID-19 pandemic on nepotism and cronyism is not significant.

Reflections on a Scholarly Career in Sport and Exercise Psychology: The Influence of Significant Others on the Psychosocial Well-Being of Children, Adolescents, and Young Adults

2021 ◽  
pp. 1-11
Author(s):  
Thelma S. Horn
Keyword(s):  
Physical Activity ◽  
Research Work ◽  
Well Being ◽  
Significant Others ◽  
Lessons Learned ◽  
Future Research ◽  
The North ◽  
Senior Scholar ◽  
Sport And Exercise ◽  
American Society

This paper is based on a Senior Scholar presentation delivered at the 2020 annual meeting of the North American Society for the Psychology of Sport and Physical Activity. The paper begins with a summary of the research work completed by the author and coinvestigators in regard to the influences that significant others (parents, peers, and coaches) exert on the psychosocial well-being of individuals in sport and physical activity. In each of these three areas, illustrative research studies are summarized in a predominantly chronological order with a commentary at the end of each section that identifies unanswered questions and suggests future research directions. In the second section, four particular lessons learned by the author over the course of a scholarly career are identified and explained.

Autopilot design for an aircraft by using Luenberger observer design

2018 ◽  
Vol 90 (5) ◽  
pp. 858-868 ◽  
Author(s):  
Muhammad Taimoor ◽  
Li Aijun ◽  
Rooh ul Amin ◽  
Hongshi Lu
Keyword(s):  
Design Methodology ◽  
Research Work ◽  
Linear Quadratic Regulator ◽  
Observer Design ◽  
Linear Quadratic ◽  
Content Type ◽  
Luenberger Observer ◽  
Level Flight ◽  
Aerial Vehicle ◽  
The Cost

Purpose The purpose of this paper is to design linear quadratic regulator (LQR) based Luenberger observer for the estimation of unknown states of aircraft. Design/methodology/approach In this paper, the LQR-based Luenberger observer is deliberated for autonomous level flight of unmanned aerial vehicle (UAV) which has been attained productively. Various modes like phugoid and roll modes are exploited for controlling the rates of UAV. The Luenberger observer is exploited for estimation of the mysterious states of the system. The rates of roll, yaw and pitch are used as an input to the observer, while the remaining states such as velocities and angles have been anticipated. The main advantage of using Luenberger observer was to reduce the cost of the system which has been achieved lucratively. The Luenberger observer proposes sturdiness at the rate of completion to conquest over the turmoil and insecurities to overcome the privileged recital. The FlightGear simulator is exploited for the endorsement of the recital of the Luenberger observer-based autopilot. The level flight has been subjugated lucratively and has been legitimated by exploiting the FlightGear simulator. The authenticated and the validated results are offered in this paper. Microsoft Visual Studio has been engaged as a medium between the MATLAB and FlightGear Simulator. Findings The suggested observer based on LQR ensures the lucrative approximation of the unknown states of the system as well as the successful level flight of the system. The Luenberger observer is used for approximation of states while LQR is used as controller. Originality/value In this research work, not only the estimation of unknown states of both longitudinal and lateral model is made but also the level flight is achieved by using those estimated states and the autopilot is validated by using the FlightGear, while in most of the research work only the estimation is made of only longitudinal or lateral model.

scholarly journals The Effectiveness of Organic Pollutants Removal in Constructed Wetland with Horizontal Sub-Surface Flow / Efektywność Usuwania Zanieczyszczeń Organicznych W Oczyszczalni Hydrofitowej

2015 ◽  
Vol 16 (1) ◽  
pp. 69-82 ◽  
Author(s):  
Anita Jakubaszek ◽  
Zofia Sadecka
Keyword(s):  
Wastewater Treatment ◽  
Organic Pollutants ◽  
Constructed Wetland ◽  
Suspended Solids ◽  
Research Work ◽  
Vegetation Period ◽  
Surface Flow ◽  
Seasonal Temperature ◽  
Work Related ◽  
Pollutants Removal

Abstract This paper presents the results of the research work related to the removal efficiency from wastewater organic pollutants and suspended solids at HSSF (horizontal subsurface flow) constructed wetland. The average effectiveness defined as loss of value COD in wastewater has reached 77%, for BOD5 - 80% and TOC - 82%. The effect of seasonal temperature changes and the period of plant vegetation and rest on the effectiveness of wastewater treatment were also analyzed. The results of the presented research showed a decrease in the efficiency of removing organic pollutants from wastewater and suspended solids in the autumn and winter. During the vegetation the object in Małyszyn has been characterized by the effectiveness of wastewater treatment at the level of 78% for COD, 82% for BOD5, and in the non-vegetation period the effectiveness has decreased up to 75% for COD and 74% for BOD5. During the plants growth the total suspension was removed in 88%, whereas during the plants rest efficiency of removing lowered to 69%.

scholarly journals Implementation of Scientific Computing Applications on the Cell Broadband Engine

2009 ◽  
Vol 17 (1-2) ◽  
pp. 135-151 ◽  
Author(s):  
Guochun Shi ◽  
Volodymyr V. Kindratenko ◽  
Ivan S. Ufimtsev ◽  
Todd J. Martinez ◽  
James C. Phillips ◽  
...  
Keyword(s):  
High Performance ◽  
Scientific Computing ◽  
Lessons Learned ◽  
Optimization Techniques ◽  
Cell Processor ◽  
Intrinsic Properties ◽  
Cell Broadband Engine ◽  
Performance Improvements ◽  
Cell Architecture ◽  
Practical Recommendations

The Cell Broadband Engine architecture is a revolutionary processor architecture well suited for many scientific codes. This paper reports on an effort to implement several traditional high-performance scientific computing applications on the Cell Broadband Engine processor, including molecular dynamics, quantum chromodynamics and quantum chemistry codes. The paper discusses data and code restructuring strategies necessary to adapt the applications to the intrinsic properties of the Cell processor and demonstrates performance improvements achieved on the Cell architecture. It concludes with the lessons learned and provides practical recommendations on optimization techniques that are believed to be most appropriate.

Heuristics for Domain-Independent Planning: A Survey

2011 ◽  
Vol 135-136 ◽  
pp. 573-577 ◽  
Author(s):  
Rui Shi Liang ◽  
Min Huang
Keyword(s):  
State Space ◽  
Heuristic Search ◽  
Research Work ◽  
Future Research ◽  
Survey Analysis ◽  
Work Related ◽  
State Space Search ◽  
Survey Results ◽  
Domain Independent ◽  
Intense Research

Increasing interest has been devoted to Planning as Heuristic Search over the years. Intense research has focused on deriving fast and accurate heuristics for domain-independent planning. This paper reports on an extensive survey and analysis of research work related to heuristic derivation techniques for state space search. Survey results reveal that heuristic techniques have been extensively applied in many efficient planners and result in impressive performances. We extend the survey analysis to suggest promising avenues for future research in heuristic derivation and heuristic search techniques.

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